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Scan based methodology for reliable state retention power gating designs

Record type: Conference or Workshop Item (Other)

Power gating is an effective technique for reducing leakage power which involves powering off idle circuits through power switches, but those power-gated circuits which need to retain their states store their data in state retention registers. When power-gated circuits are switched from sleep to active mode, sudden rush of current has the potential of corrupting the stored data in the state retention registers which could be a reliability problem. This paper presents a methodology for improving the reliability of power-gated designs by protecting the integrity of state retention registers through state monitoring and correction. This is achieved by scan chain data encoding and decoding. The methodology is compatible with EDA tools design and power gating control flows. A detailed analysis of the proposed methodology's capability in detecting and correcting errors is given including the area overhead and energy consumption of the protection circuitry. The methodology is validate using FPGA and show that it is possible to correct all single errors with Hamming code and detect all multiple errors with CRC-16 code. To the best of our knowledge this is the first study in the area of reliable power gating designs through state monitoring and correction.

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Citation

Yang, Sheng, Al-Hashimi, Bashir, Flynn, David and Khursheed, Saqib (2010) Scan based methodology for reliable state retention power gating designs At Design, Automation and Test in Europe, Germany. 08 Mar 2010. 6 pp, pp. 69-74.

More information

Published date: 8 March 2010
Venue - Dates: Design, Automation and Test in Europe, Germany, 2010-03-08 - 2010-03-08
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 268275
URI: http://eprints.soton.ac.uk/id/eprint/268275
PURE UUID: 5d50dd8c-b55f-4d9f-bb05-8aaf94bf567d

Catalogue record

Date deposited: 27 Nov 2009 18:56
Last modified: 18 Jul 2017 06:55

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Contributors

Author: Sheng Yang
Author: David Flynn
Author: Saqib Khursheed

University divisions


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